No abstract is available for this article. Data Availability Statement Data sharing not applicable to this article as no datasets were generated or analysed during the current study. Peer Review The peer review history for this article is available at https://www.webofscience.com/api/gateway/wos/peer-review/10.1111/dom.71346.
Abstract Non-exhaust emissions are rapidly emerging as a major contributor to traffic-related particulate pollution, yet their emission patterns and impacts remain poorly constrained at large spatial scales. Here we present a nationwide, road-network-resolved assessment of tire and road wear particles (TRWP), integrating harmonized field measurements, machine-learning models, traffic activity data, and epidemiological models.
Abstract This study aimed to elucidate the differences in the composition of the flavor molecular basis of fresh tea leaves (Camellia sinensis L.) from different regions and their potential for geographical discrimination. The samples from eight representative producing areas across China’s four major tea regions (Jiangbei, Jiangnan, South China, and Southwest) were analyzed using biochemical composition profiling, UPLC-Q-TOF-MS, and HS-SPME-GC-MS.
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